𝗦𝘂𝗺𝗺𝗮𝗿𝘆: Niraj Nagrani, VP and GM for Consumer and Supplier Technologies at Wayfair, shares how the global home furnishings giant is partnering with Google Cloud to supercharge its technology transformation. Discover how Wayfair is using Google Cloud's AI and ML solutions, including Vertex AI and Gemini, to unlock new levels of developer productivity and accelerate its migration to a modern, cloud-native architecture.
𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: As a data-driven ecommerce leader, Wayfair needed to modernize its legacy technology stack, including migrating from monolithic SQL databases to a more agile and scalable architecture. This complex undertaking required significant developer resources and faced potential delays due to the intricate nature of legacy code.
𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: Wayfair embraced Google Cloud's AI and ML solutions to accelerate its modernization journey. By leveraging Gemini and Vertex AI, Wayfair built and deployed custom models to power key business functions, including product tagging, image optimization, and personalized recommendations. Additionally, Wayfair integrated Gemini into its developer workflows, enabling code generation, analysis, and refactoring at an unprecedented pace. Building on Google Cloud’s highly scalable AI infrastructure also enables Wayfair to scale innovative features like Decorify, an immersive experience that lets shoppers reimagine their spaces and home based on their style preferences using generative AI.
𝗥𝗲𝘀𝘂𝗹𝘁𝘀: The integration of Google Cloud's AI and ML solutions has resulted in a dramatic increase in developer productivity at Wayfair. By automating complex tasks and providing intelligent code recommendations, Wayfair achieved a 4x increase in the overall speed of its technology transformation. Their database uptime has also improved from 92% to 99.9% in some of its mission-critical services. This accelerated pace of innovation allows Wayfair to bring new features and experiences to its customers faster, solidifying its position as a leader in the competitive home furnishings market.
On the business side, Wayfair is already seeing significant improvements powered by Google’s AI. A pilot program utilizing conversational AI for sales agents has demonstrated a remarkable 10-20x improvement in average customer call handling time, enabling agents to address more complex queries with greater efficiency. Additionally, Gemini has accelerated product tagging by 4x, leading to a 10% increase in items being attached to online shopping carts in the checkout experience. This dramatic improvement stems from Gemini's ability to rapidly and accurately tag product attributes, making it easier for customers to discover relevant items within Wayfair's vast catalog.
𝗕𝘆 𝘁𝗵𝗲 𝗻𝘂𝗺𝗯𝗲𝗿𝘀: 𝗨𝘀𝗶𝗻𝗴 𝗚𝗲𝗺𝗶𝗻𝗶, 𝗪𝗮𝘆𝗳𝗮𝗶𝗿 𝗮𝗰𝗵𝗶𝗲𝘃𝗲𝗱 𝗮𝗽𝗽𝗿𝗼𝘅𝗶𝗺𝗮𝘁𝗲𝗹𝘆 …
• 65% uplift in developer productivity for refactoring SQL to GQL, and for simple stored procedure
• 55% improvement in the time to build boilerplate code
• 25% faster code refactoring
• 20% faster code releases
• 4x faster product tagging
• 10x increase in items being attached to online shopping carts
𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 𝗮𝗻𝗱 𝗸𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 𝗳𝗿𝗼𝗺 𝗼𝘂𝗿 𝗳𝘂𝗹𝗹 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝘄𝗶𝘁𝗵 𝗡𝗶𝗿𝗮𝗷 𝗡𝗮𝗴𝗿𝗮𝗻𝗶, 𝗩𝗣 𝗮𝗻𝗱 𝗚𝗠 𝗼𝗳 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗳𝗼𝗿 𝗖𝗼𝗻𝘀𝘂𝗺𝗲𝗿 𝗮𝗻𝗱 𝗦𝘂𝗽𝗽𝗹𝗶𝗲𝗿 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗮𝘁 𝗪𝗮𝘆𝗳𝗮𝗶𝗿:
→ "What used to be long, drawn-out processes - building, tuning, and training models - are now significantly faster thanks to Vertex AI and Gemini. We're able to iterate and deploy at scale much more quickly."
→ “Moving to GCP and a decoupled architecture was a game-changer for our infrastructure. Compared to our previous monolithic setup, we now have significantly more stability and availability across multiple zones, ensuring a reliable experience for our customers. Even during peak events like Black Friday and Cyber Monday, we can trust that our infrastructure will remain robust and responsive for our shoppers worldwide.”
→ “The biggest thing for us is going to be how do we now leapfrog and understand some of the consumer changing behaviors with respect to multimodal search experience. Imagen will be very critical for us as we think about how we create some of those PDP (product detail page) images and marketing images with velocity at low cost.”
𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 𝘂𝘀𝗲𝗱: Vertex AI, Gemini, Cloud SQL, Spanner, Bigtable, BigQuery, Bison models
𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲:
→ How Vertex AI Endpoints helped Wayfair achieve real-time model serving: goo.gle/3ZKMfLh
→ Join leaders from Wayfair and Google for a fireside chat on gen AI assistance in software development: goo.gle/3Y3sGMF
→ How Wayfair is improving customer experience with Google Cloud NetApp Volumes: goo.gle/403ZaYX
Негізгі бет Ғылым және технология New Way Now: Wayfair furnishes a new era of developer productivity with Google Cloud's AI
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